enterprise data architect.

Experience Required: • At least 5+ years of experience in designing and developing enterprise data architecture technologies and a successful track record in implementing such architectures At least 3+ years of experience in the Investment management industry, preferred exposure to alternative assets and associated data. At least 3+ years of professional delivery experience with Azure in the following areas: • Solution/technical architecture • Big Data/analytics/information analysis/database management • Data Modeling, Data architecture, Data Integration, and Database Design • Data Integration strategy using Batch (ETL/ELT), Streaming (Real-time/near-real streaming), by adopting CDC (changed Data Capture) Framework• Extensive hands-on experience delivering Azure platform solutions: • Required: Azure Storage, Azure SQL DB/DW, Azure Data Factory, Azure Stream Analytics, Azure Synapse Analytics, Azure DevOps, Data Bricks• Nice to have: Azure ML Studio, Snowflake • Advanced hands-on SQL, Spark, Python, Scala, pySpark (2+ of these) knowledge and extensive experience working with relational databases for data querying and retrieval • Experience designing and implementing data models across multiple datasets, including best practices for dimensional modeling, storage considerations, and handling full and incremental batch scenarios• Hands-on experience with data visualization and analytics tools preferably Power BI • Experience implementing security controls (data encryption, security groups, and roles, row-level security, etc.) across data lake storage, models, and analytics workspaces • Familiarity with data governance best practices, including exposure to tools such as Azure Purview, Collibra, or equivalent